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Model: tomhu/RL4TG-Qwen2.5-3B-GRPO-2-Epochs
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-3B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- qwen2
+- test-generation
+- reinforcement-learning
+- grpo
+- opd
+- java
+- defects4j
+---
+
+# Qwen2.5-3B + GRPO (2 epochs)
+
+This is an RL4TG checkpoint for Java unit-test generation.
+
+| Field | Value |
+|---|---|
+| Base model | `Qwen/Qwen2.5-3B-Instruct` |
+| Method | Group Relative Policy Optimization (GRPO) |
+| Teacher | `None` |
+| Released checkpoint | step 98 (2 epochs) |
+| Training data | 1,582 mutation-eligible Defects4J training samples |
+| Prompt format | Qwen2.5 chat template |
+| Global training seed | 42 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "tomhu/RL4TG-Qwen2.5-3B-GRPO-2-Epochs"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+```
+
+The model is intended for research on Java unit-test generation. Generated tests
+must still be compiled and executed in the target project's own build environment.
+
+<!-- RL4TG_CHECKPOINT_REVISIONS -->
+## Checkpoint revisions
+
+The 10-step trajectory checkpoints are available as Git revisions in this repo.
+The `main` revision is the final step-98 model.
+
+| Revision | Training step | Load argument |
+|---|---:|---|
+| `step-10` | 10 | `revision="step-10"` |
+| `step-20` | 20 | `revision="step-20"` |
+| `step-30` | 30 | `revision="step-30"` |
+| `step-40` | 40 | `revision="step-40"` |
+| `step-50` | 50 | `revision="step-50"` |
+| `step-60` | 60 | `revision="step-60"` |
+| `step-70` | 70 | `revision="step-70"` |
+| `step-80` | 80 | `revision="step-80"` |
+| `step-90` | 90 | `revision="step-90"` |